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Physical Sciences and Mathematics Commons

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Oceanography and Atmospheric Sciences and Meteorology

Precipitation

College of Engineering and Mathematical Sciences Faculty Publications

Publication Year

Articles 1 - 2 of 2

Full-Text Articles in Physical Sciences and Mathematics

Evaluation Of Daily Precipitation From The Era5 Global Reanalysis Against Ghcn Observations In The Northeastern United States, Caitlin C. Crossett, Alan K. Betts, Lesley Ann L. Dupigny-Giroux, Arne Bomblies Dec 2020

Evaluation Of Daily Precipitation From The Era5 Global Reanalysis Against Ghcn Observations In The Northeastern United States, Caitlin C. Crossett, Alan K. Betts, Lesley Ann L. Dupigny-Giroux, Arne Bomblies

College of Engineering and Mathematical Sciences Faculty Publications

Licensee MDPI, Basel, Switzerland. Precipitation is a primary input for hydrologic, agricultural, and engineering models, so making accurate estimates of it across the landscape is critically important. While the distribution of in-situ measurements of precipitation can lead to challenges in spatial interpolation, gridded precipitation information is designed to produce a full coverage product. In this study, we compare daily precipitation accumulations from the ERA5 Global Reanalysis (hereafter ERA5) and the US Global Historical Climate Network (hereafter GHCN) across the northeastern United States. We find that both the distance from the Atlantic Coast and elevation difference between ERA5 estimates and GHCN …


Characterization Of Increased Persistence And Intensity Of Precipitation In The Northeastern United States, Justin Guilbert, Alan K. Betts, Donna M. Rizzo, Brian Beckage, Arne Bomblies Jan 2015

Characterization Of Increased Persistence And Intensity Of Precipitation In The Northeastern United States, Justin Guilbert, Alan K. Betts, Donna M. Rizzo, Brian Beckage, Arne Bomblies

College of Engineering and Mathematical Sciences Faculty Publications

We present evidence of increasing persistence in daily precipitation in the northeastern United States that suggests that global circulation changes are affecting regional precipitation patterns. Meteorological data from 222 stations in 10 northeastern states are analyzed using Markov chain parameter estimates to demonstrate that a significant mode of precipitation variability is the persistence of precipitation events. We find that the largest region‐wide trend in wet persistence (i.e., the probability of precipitation in 1 day and given precipitation in the preceding day) occurs in June (+0.9% probability per decade over all stations). We also find that the study region is experiencing …